Michael Eickenberg
Flatiron Health (United States)(US)Flatiron Institute
Publications by Year
Research Areas
Galaxies: Formation, Evolution, Phenomena, Functional Brain Connectivity Studies, Neural dynamics and brain function, Neural Networks and Applications, Computational Physics and Python Applications
Most-Cited Works
- → Machine learning for neuroimaging with scikit-learn(2014)2,571 cited
- → Seeing it all: Convolutional network layers map the function of the human visual system(2016)375 cited
- → Feature-space selection with banded ridge regression(2022)96 cited
- → Formal Models of the Network Co-occurrence Underlying Mental Operations(2016)87 cited
- → Solid harmonic wavelet scattering for predictions of molecule properties(2018)78 cited
- → Kymatio: Scattering Transforms in Python(2018)77 cited
- → Data-driven HRF estimation for encoding and decoding models(2014)72 cited
- → The CAMELS Multifield Data Set: Learning the Universe’s Fundamental Parameters with Artificial Intelligence(2022)63 cited
- → Population heterogeneity in clinical cohorts affects the predictive accuracy of brain imaging(2022)57 cited